New Horizons for a Data-Driven Economy
New Horizons for a Data-Driven Economy

Author: José María Cavanillas

Publisher: Springer

Published: 2016-04-04

Total Pages: 312

ISBN-13: 3319215698

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In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

The Path to Becoming a Data-Driven Public Sector
The Path to Becoming a Data-Driven Public Sector

Author: Oecd

Publisher: Org. for Economic Cooperation & Development

Published: 2019-11-28

Total Pages: 168

ISBN-13: 9789264517950

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Twenty-first century governments must keep pace with the expectations of their citizens and deliver on the promise of the digital age. Data-driven approaches are particularly effective for meeting those expectations and rethinking the way governments and citizens interact. This report highlights the important role data can play in creating conditions that improve public services, increase the effectiveness of public spending and inform ethical and privacy considerations. It presents a data-driven public sector framework that can help countries or organisations assess the elements needed for using data to make better-informed decisions across public sectors.

Working with Data in the Public Sector
Working with Data in the Public Sector

Author: Anne McIntyre-Lahner

Publisher: Taylor & Francis

Published: 2024-10-28

Total Pages: 235

ISBN-13: 1040122256

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Working with Data in the Public Sector: From Fear to Enthusiasm is the first book designed for practicing and future public administration professionals to help overcome any anxiety about using data effectively in their roles. Authors Anne McIntyre-Lahner and Ronald Schack explore different types and degrees of data fear (a data fear/data comfort continuum) and provide a toolbox of fear-fighting techniques, including methods of dealing with data fear “in the moment,” methods of mitigating data fear related to using, sharing, and reporting data, and demonstrating how many common data tasks need not be scary. They further offer a self-assessment instrument and process to help individuals assess their level of data fear/comfort, identifying which specific dimensions of data fear/comfort may be most problematic at both the individual and organizational level. The book examines how individual data fear can “infect” organizations, collaboratives, and communities and how to “bake in” data fear prevention in one’s efforts to create and sustain a data-informed culture. It is important reading for both practicing and future public servants, including those enrolled in public administration, public policy, and nonprofit management programs.

Public Policy Analytics
Public Policy Analytics

Author: Ken Steif

Publisher: CRC Press

Published: 2021-08-18

Total Pages: 254

ISBN-13: 1000401618

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Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.

Data Mining in Public and Private Sectors: Organizational and Government Applications
Data Mining in Public and Private Sectors: Organizational and Government Applications

Author: Syvajarvi, Antti

Publisher: IGI Global

Published: 2010-06-30

Total Pages: 448

ISBN-13: 1605669075

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The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing importance on the growth of data mining applications and tools. Data Mining in Public and Private Sectors: Organizational and Government Applications explores the manifestation of data mining and how it can be enhanced at various levels of management. This innovative publication provides relevant theoretical frameworks and the latest empirical research findings useful to governmental agencies, practicing managers, and academicians.

Using Remote Sensing in State and Local Government
Using Remote Sensing in State and Local Government

Author: National Research Council

Publisher: National Academies Press

Published: 2003-03-12

Total Pages: 111

ISBN-13: 0309168325

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Advances in spatial, spectral, and temporal resolution over the past several years have greatly expanded opportunities for practical applications of remote sensing data. To explore the implications of these possibilities, the NRC held a series of three workshops on different facets of remote sensing applications. This report is on the third of those workshops: the development and use of remote sensing data and information by state, local, and regional governments. The steering committee was asked to examine the opportunities, potential challenges, and policy issues associated with the application of remote sensing data in the public sector including approaches and procedures for government agencies to use such data and barriers to development and use of the applications. The resulting report is addressed primarily to non-technical managers and decisions makers at all levels of government below the federal level.

Data for the Public Good
Data for the Public Good

Author: Alex Howard

Publisher: "O'Reilly Media, Inc."

Published: 2012-02-21

Total Pages: 24

ISBN-13: 1449329721

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As we move into an era of unprecedented volumes of data and computing power, the benefits aren't for business alone. Data can help citizens access government, hold it accountable and build new services to help themselves. Simply making data available is not sufficient. The use of data for the public good is being driven by a distributed community of media, nonprofits, academics and civic advocates. This report from O'Reilly Radar highlights the principles of data in the public good, and surveys areas where data is already being used to great effect, covering: Consumer finance Transit data Government transparency Data journalism Aid and development Crisis and emergency response Healthcare

Data Science for Public Policy
Data Science for Public Policy

Author: Jeffrey C. Chen

Publisher: Springer Nature

Published: 2021-09-01

Total Pages: 365

ISBN-13: 3030713520

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This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques and approaches emphasize data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst’s time and advancing to the practical applications of statistical learning and machine learning. The text considers two divergent, competing perspectives to support its applications, incorporating techniques from both causal inference and prediction. Additionally, the book includes open-sourced data as well as live code, written in R and presented in notebook form, which readers can use and modify to practice working with data.

Democratizing Our Data
Democratizing Our Data

Author: Julia Lane

Publisher: MIT Press

Published: 2021-10-19

Total Pages: 187

ISBN-13: 0262542749

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A wake-up call for America to create a new framework for democratizing data. Public data are foundational to our democratic system. People need consistently high-quality information from trustworthy sources. In the new economy, wealth is generated by access to data; government's job is to democratize the data playing field. Yet data produced by the American government are getting worse and costing more. In Democratizing Our Data, Julia Lane argues that good data are essential for democracy. Her book is a wake-up call to America to fix its broken public data system.